Table 1 Performance metrics for each of the meta-learners used
From: Improving mortality forecasting using a hybrid of Lee–Carter and stacking ensemble model
GLM | RF | XGBoost | NN | |
|---|---|---|---|---|
RMSE | 0.039143 | 0.074639842 | 0.068451098 | 0.042021144 |
MAPE | 0.02167 | 0.044750708 | 0.042520553 | 0.02541529 |
MAE | 0.0372259 | 0.074784325 | 0.069914282 | 0.046118753 |